Search Results for "data structures"
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Showing 29 open source projects for "data structures"
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1
Serde JSON
Strongly typed JSON library for Rust
Serde is a framework for serializing and deserializing Rust data structures efficiently and generically. -
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jsondiff
Diff JSON and JSON-like structures in Python
Diff JSON and JSON-like structures in Python. -
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TOML
Tom Preston-Werner's obvious, minimal language
...TOML differs in combining these, allowing comments (unlike JSON) but preserving simplicity (unlike YAML). Because TOML is explicitly intended as a configuration file format, parsing it is easy, but it is not intended for serializing arbitrary data structures. -
4
nette Schema
Validating data structures against a given Schema
A practical library for validation and normalization of data structures against a given schema with a smart & easy-to-understand API. In variable $schema we have a validation schema (what exactly this means and how to create it we will say later) and in variable $data we have a data structure that we want to validate and normalize. This can be, for example, data sent by the user through an API, configuration file, etc. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Shale
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML
Shale is a Ruby object mapper and serializer for JSON, YAML, TOML, CSV and XML. It allows you to parse JSON, YAML, TOML, CSV and XML data and convert it into Ruby data structures, as well as serialize data structures into JSON, YAML, TOML, CSV or XML. -
6
Jbuilder
Generate JSON objects with a Builder-style DSL
Jbuilder gives you a simple DSL for declaring JSON structures that beats manipulating giant hash structures. This is particularly helpful when the generation process is fraught with conditionals and loops. You can either use Jbuilder stand-alone or directly as an ActionView template language. When required in Rails, you can create views à la show.json.jbuilder (the json is already yielded). Fragment caching is supported, it uses Rails.cache and works like caching in HTML templates. If your... -
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BSON parser
BSON Parser for node and browser
BSON parser is the core JavaScript implementation of BSON (Binary JSON), the data format used by MongoDB to represent documents on the wire and in storage. It provides encoding and decoding capabilities so JavaScript environments like Node.js and browsers can serialize rich data structures (including types not native to JSON) into the compact, efficient BSON binary representation used by MongoDB drivers and servers. -
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JSON Crack
Innovative and open-source visualization application
JSON Crack is a free, open-source data visualization app capable of visualizing data formats such as JSON, YAML, XML, CSV and more, into interactive graphs. With its intuitive and user-friendly interface, JSON Crack makes it easy to explore, analyze, and understand even the most complex data structures. Whether you're a developer working on a large-scale project or a data enthusiast looking to uncover hidden insights, JSON Crack has the tools and features you need to unlock the full potential of your data. -
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JSON Hero
JSON Hero is an open-source, beautiful JSON explorer for the web
JSON Hero is a beautiful and powerful JSON viewer designed for developers who work with large and complex JSON files. It runs as a web-based interface (and as a standalone app) that provides semantic, interactive rendering of JSON content, helping users understand the structure and meaning of data at a glance. JSON Hero automatically detects data types such as URLs, dates, colors, and base64 images, and presents them in meaningful ways. It’s designed for productivity and readability, with... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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DAW JSON Link v3
Fast, convenient JSON serialization and parsing in C++
Fast, convenient JSON serialization and parsing in C++. The DAW JSON Link library is a high-performance, no allocation, C++ JSON Library. Direct parsing of JSON to your own data structures via simple declarative mappings. Earlier error reporting of unexpected data and errors. Low memory requirement, parser requires a small amount of stack but does not allocate itself. Optimizations based on data types. Does not require owning the mapped types and is not intrusive. -
11
tslog
Universal Logger for TypeScript and JavaScript
Powerful, fast, and expressive logging for TypeScript and JavaScript. Every incoming log message runs through a number of steps before being displayed or handed over to a "transport". Every step can be overwritten and adjusted. By default, tslog is optimized for the best developer experience and includes some default settings that may impact performance in production environments. -
12
jsonrepair
Repair invalid JSON documents
...The library is capable of fixing problems such as missing commas, trailing commas, invalid quotes, unescaped characters, incomplete values, comments, and improperly formatted structures while preserving the intended data as accurately as possible. It is especially useful in workflows involving AI-generated content, manually edited configuration files, or unreliable external APIs where malformed JSON frequently occurs. jsonrepair supports both browser and Node.js environments, making it suitable for client-side validation tools and backend processing pipelines alike. ... -
13
Fast JSON
Fast JSON parser and validator for Go
Fast JSON is a high-performance JSON parser and generator written in Go, designed for speed and efficiency in handling large volumes of structured data. It avoids unnecessary memory allocations and reflection, enabling significantly faster parsing compared to standard libraries. The project provides a low-level API that allows developers to work directly with JSON structures without converting them into intermediate representations. Its design prioritizes minimal overhead and maximum throughput, making it suitable for performance-critical applications such as APIs, data pipelines, and real-time systems. fastjson also supports both parsing and serialization, offering flexibility in data handling. ... -
14
json-render
Generate dashboards, widgets, apps, and data visualizations
json-render is a lightweight, framework-agnostic utility designed to turn JSON data into usable HTML layouts automatically, offering a straightforward way to visualize structured data without writing bespoke template code. It takes deeply nested JSON objects and renders them into intuitive, readable UIs by mapping data types and keys to semantic HTML elements, which helps developers prototype dashboards, debugging tools, or data-driven interfaces quickly. The tool is built to be embeddable... -
15
Doctrine JSON ODM
An object document mapper for Doctrine ORM using JSON
An Object-Document Mapper (ODM) for Doctrine ORM leveraging new JSON types of modern RDBMS. Did you ever dream of a tool creating powerful data models mixing traditional, efficient relational mappings with modern schema-less and NoSQL-like ones? With Doctrine JSON ODM, it's now possible to create and query such hybrid data models with ease. Thanks to modern JSON types of RDBMS, querying schema-less documents is easy, powerful and fast as hell (similar in performance to a MongoDB database)!... -
16
jsoniter-scala
Scala macros for compile-time generation of safe and ultra-fast JSON
...The idea to generate codecs by Scala macros and main details was borrowed from Kryo Macros and adapted for the needs of the JSON domain. Validate parsed values safely with the fail-fast approach and clear reporting, provide configurable limits for suboptimal data structures with safe defaults to be resilient for DoS attacks, generate codecs that create instances of a fixed set of classes during parsing to avoid RCE attacks. -
17
Vince's CSV Parser
A modern C++ library for reading, writing, and analyzing CSV
...Furthermore, I wanted support for special use cases such as calculating statistics on very large files. With the deluge of large datasets available, a performant CSV parser is a necessity. By using overlapped threads, memory-mapped IO, and efficient data structures, this parser can quickly tackle large CSV files. Furthermore, this parser has a minimal memory footprint and can handle larger-than-RAM files. -
18
HCL
HCL is the HashiCorp configuration language
HCL is a toolkit for creating structured configuration languages that are both human- and machine-friendly, for use with command-line tools. Although intended to be generally useful, it is primarily targeted toward DevOps tools, servers, etc. HCL has both a native syntax, intended to be pleasant to read and write for humans, and a JSON-based variant that is easier for machines to generate and parse. It includes an expression syntax that allows basic inline computation and, with support from... -
19
json-rules-engine
A rules engine expressed in JSON
A rules engine expressed in JSON. json-rules-engine is a powerful, lightweight rules engine. Rules are composed of simple json structures, making them human-readable and easy to persist. -
20
DefiantJS
Provides the ability for you to build smart templates applications
Do you need to query large JSON structures? Do you end up coding loops to parse the JSON and identify the data that matches your query? Defiant offers a better way. Defiant extends the global JSON object with a "search" method that enables lightning-fast searches using XPath expressions. Try out the XPath Evaluator to get the idea. DefiantJS provides the ability for you to build smart templates applicable on JSON structures, based upon proven & standardized technologies such as XSLT and XPath. ... -
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JSON-Diff
Structural diff for JSON files
...Because JSON is ubiquitous in APIs, configs, and data interchange, json-diff is particularly handy for developers, devops, and QA to compare API responses or configuration states. It is designed to be lightweight and embeddable so it can be used both interactively and in scripts or CI pipelines. -
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JSON:API
A specification for building JSON APIs
This repository defines the specification for JSON:API, a standardized format for building APIs with JSON. The goal is to minimize bikeshedding and inconsistency by giving developers a well-documented schema for requests and responses. It specifies how to represent resources, relationships, pagination, sorting, filtering, and metadata in a predictable way. Clients and servers that follow the spec can interoperate seamlessly without custom glue code for every new service. JSON:API also... -
23
Jason
A blazing fast JSON parser and generator in pure Elixir
...Jason follows the JSON spec more strictly, for example, it does not allow unescaped newline characters in JSON strings - e.g. "\"\n\"" will produce a decoding error. No support for decoding into data structures (the as: option). No built-in encoders for MapSet, Range and Stream. No support for encoding arbitrary structs - explicit implementation of the Jason.Encoder protocol is always required. Different pretty-printing customization options (default pretty: true works the same). -
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SJSON
Set JSON values very quickly in Go
...Just as GJSON allows fast retrieval, SJSON allows fast mutation: you provide a JSON document, a dot-notation path (including array indices or the special “-1” index for appending), and a new value, and SJSON produces the updated JSON. It supports many data types (numbers, strings, bools, arrays, maps), raw byte paths, and options for in-place replacement. Because it avoids full unmarshalling into structs, it is very efficient for many use-cases where you just need to tweak a JSON document quickly. Paths support appending to arrays, creating intermediate structures if missing, and deleting (via the Delete function). ... -
25
JSON Parser
JSON Parser written in C that outputs JSON into D-List list objects
...The JSON data is returned to the caller as a set of hierarchical D-List list objects, that make the data very easy to manage, sort, search or use, and easy to remove when done. Package includes a JSON textural generator which will create JSON grammar data blocks from hierarchical D-List representations of JSON data. The package also includes a variety of support functions to allow C code to easily find, add, and modify JSON values and members in D-List hierarchical structures.
